Learned Motion Matching

Learned Motion Matching generates realistic and smooth transitions for basic humanoid locomotion by learning to select the K-Nearest Neighbors (kNN) to match character poses without the need for a pre-defined state machine.

Links:

Demo | Documentation | Website

Please find the Demo in the "Try it out" section of the website.

Key Features:

• 🏃 Natural, Fluid Movement: Achieve smooth, weight-shifted motion with no foot sliding or abrupt animation changes like in State Machine animations. The customizable kNN classifier balances between fast, responsive transitions and realistic movements.

• 📍 Waypoint Navigation: With an advanced Distance Matching system, powered by a Greedy Algorithm, your characters can follow custom-defined paths with precision. Loop waypoints effortlessly and adjust the speed to control how your character interacts with the environment.

• 🦾 Upper Body Customization: Bring hand interactions to life! Using Inverse Kinematics (IK), your characters can dynamically hold, grasp, or manipulate objects with realistic hand poses. Customize hand weights, fine-tune motions, and create complex finger movements with ease.

• ⚙️ Effortless Setup: Designed for all humanoid characters, with a one-click setup process and comprehensive documentation to get you up and running in no time.

Dependencies:

Learned Motion Matching requires the Animation Rigging and Sentis package from the package manager.

Limitations:

• Locomotion Only: The package is focused solely on basic human locomotion; advanced moves like jumping or vaulting are not included.
• No Specialized Motions: Custom movements, such as limping or skipping, require external data and it is not included in this package.